activity
20182021
most citedTracking and tracing in the UK: a dynamic causal modelling study

5 citations · 15 across the 12 of their papers we have counts for

collaborators

15 papers

q-bio.QM2021

Fine-tuning neural excitation/inhibition for tailored ketamine use in treatment-resistant depression

Erik D. Fagerholm, Robert Leech, Steven Williams +3

The glutamatergic modulator ketamine has been shown to rapidly reduce depressive symptoms in patients with treatment-resistant major depressive disorder (TRD). Although its mechani…

q-bio.NC2020★ 2 cited

The principle of stationary action in neural systems

Erik D. Fagerholm, Karl J. Friston, Rosalyn J. Moran +1

The principle of stationary action is a cornerstone of modern physics, providing a powerful framework for investigating dynamical systems found in classical mechanics through to qu…

q-bio.QM2020

Dynamic causal modelling of immune heterogeneity

Thomas Parr, Anjali Bhat, Peter Zeidman +4

An interesting inference drawn by some Covid-19 epidemiological models is that there exists a proportion of the population who are not susceptible to infection -- even at the start…

q-bio.PE2020

Effective immunity and second waves: a dynamic causal modelling study

Karl J. Friston, Thomas Parr, Peter Zeidman +11

This technical report addresses a pressing issue in the trajectory of the coronavirus outbreak; namely, the rate at which effective immunity is lost following the first wave of the…

cs.CV2020★ 2 cited

A Meta-Bayesian Model of Intentional Visual Search

Maell Cullen, Jonathan Monney, M. Berk Mirza +1

We propose a computational model of visual search that incorporates Bayesian interpretations of the neural mechanisms that underlie categorical perception and saccade planning. To…

q-bio.QM2020★ 5 cited

Tracking and tracing in the UK: a dynamic causal modelling study

Karl J. Friston, Thomas Parr, Peter Zeidman +9

By equipping a previously reported dynamic causal model of COVID-19 with an isolation state, we modelled the effects of self-isolation consequent on tracking and tracing. Specifica…

q-bio.NC2020

Fighting seizures with seizures: diffusion and stability in neural systems

Erik D. Fagerholm, Chayanin Tangwiriyasakul, Karl J. Friston +8

Seizure activity is a ubiquitous and pernicious pathophysiology that, in principle, should yield to mathematical treatments of (neuronal) ensemble dynamics - and therefore interven…

q-bio.PE2020

Second waves, social distancing, and the spread of COVID-19 across America

Karl J. Friston, Thomas Parr, Peter Zeidman +9

We recently described a dynamic causal model of a COVID-19 outbreak within a single region. Here, we combine several of these (epidemic) models to create a (pandemic) model of vira…

q-bio.PE2020★ 2 cited

Estimating required 'lockdown' cycles before immunity to SARS-CoV-2: Model-based analyses of susceptible population sizes, 'S0', in seven European countries including the UK and Ireland

Rosalyn J. Moran, Erik D. Fagerholm, Maell Cullen +6

We used Bayesian model inversion to estimate epidemic parameters from the reported case and death rates from seven countries using data from late January 2020 to April 5th 2020. Tw…

q-bio.PE2020

Dynamic causal modelling of COVID-19

Karl J. Friston, Thomas Parr, Peter Zeidman +9

This technical report describes a dynamic causal model of the spread of coronavirus through a population. The model is based upon ensemble or population dynamics that generate outc…

q-bio.QM2019

Seizure intervention via diffusion mechanisms

Erik D. Fagerholm, Rosalyn J. Moran, Robert Leech

We begin by demonstrating that the neuronal state equation from Dynamic Causal Modelling takes on the form of the discretized Fokker-Planck equation upon the inclusion of local act…

physics.data-an2019

Estimating quantities conserved by virtue of scale invariance in timeseries

Erik D. Fagerholm, W. M. C. Foulkes, Yasir Gallero-Salas +4

In contrast to the symmetries of translation in space, rotation in space, and translation in time, the known laws of physics are not universally invariant under transformation of s…

q-bio.QM2019

Dynamic causal modelling of phase-amplitude interactions

Erik D. Fagerholm, Rosalyn J. Moran, Ines R. Violante +2

Models of coupled oscillators are used to describe a wide variety of phenomena in neuroimaging. These models typically rest on the premise that oscillator dynamics do not evolve be…

physics.bio-ph2019★ 3 cited

Network constraints in scale free dynamical systems

Erik D. Fagerholm, W. M. C. Foulkes, Yasir Gallero-Salas +4

Scale free dynamics are observed in a variety of physical and biological systems. These include neural activity in which evidence for scale freeness has been reported using a range…

q-bio.QM2018★ 1 cited

Breaking the bonds of weak coupling: the dynamic causal modelling of oscillator amplitudes

Erik D. Fagerholm, Rosalyn J. Moran, Inês R. Violante +2

Models of coupled oscillators are useful in describing a wide variety of phenomena in physics, biology and economics. These models typically rest on the premise that the oscillator…